Measuring User Perception for Detecting Unexpected Access to Sensitive Resource in Mobile Apps

Abstract

Understanding users' perception of app behaviors is an important step to detect data access that violates user expectations. While existing works have used various proxies to infer user expectations (e.g., by analyzing app descriptions), how real-world users perceive an app's data access when they interact with graphical user interfaces (UI) has not been fully explored.